Mohamed Ibrahim Waly¹, Mohamed Yacin Sikkandar¹, Mohamed Abdelkader Aboamer¹, Seifedine Kadry², Orawit Thinnukool^3,*

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3295-3309, 2022, DOI:10.32604/cmc.2022.020713

Abstract Biomedical imaging is an effective way of examining the internal organ of the human body and its diseases. An important kind of biomedical image is Pap smear image that is widely employed for cervical cancer diagnosis. Cervical cancer is a vital reason for increased women’s mortality rate. Proper screening of pap smear images is essential to assist the earlier identification and diagnostic process of cervical cancer. Computer-aided systems for cancerous cell detection need to be developed using deep learning (DL) approaches. This study introduces an intelligent deep convolutional neural network for cervical cancer detection and classification (IDCNN-CDC) model using biomedical… More >

Mehdi Hassan^1,*, Safdar Ali², Muhammad Sanaullah³, Khuram Shahzad⁴, Sadaf Mushtaq^5,6, Rashda Abbasi⁶, Zulqurnain Ali⁴, Hani Alquhayz⁷

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2743-2760, 2022, DOI:10.32604/cmc.2022.020055

Abstract Cancer is the second deadliest human disease worldwide with high mortality rate. Rehabilitation and treatment of this disease requires precise and automatic assessment of effective drug response and control system. Prediction of treated and untreated cancerous cell line is one of the most challenging problems for precise and targeted drug delivery and response. A novel approach is proposed for prediction of drug treated and untreated cancer cell line automatically by employing modified Deep neural networks. Human hepatocellular carcinoma (HepG2) cells are exposed to anticancer drug functionalized CFO@BTO nanoparticles developed by our lab. Prediction models are developed by modifying ResNet101 and… More >

S. Sathiya Devi¹, S. Vidivelli^2,*

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3049-3066, 2022, DOI:10.32604/cmc.2022.019917

Abstract Breast cancer is one of the common invasive cancers and stands at second position for death after lung cancer. The present research work is useful in image processing for characterizing shape and gray-scale complexity. The proposed Modified Differential Box Counting (MDBC) extract Fractal features such as Fractal Dimension (FD), Lacunarity, and Succolarity for shape characterization. In traditional DBC method, the unreasonable results obtained when FD is computed for tumour regions with the same roughness of intensity surface but different gray-levels. The problem is overcome by the proposed MDBC method that uses box over counting and under counting that covers the… More >

Çağrı Öner^1,* and Ertuğrul Çolak²

Oncologie, Vol.23, No.3, pp. 393-407, 2021, DOI:10.32604/Oncologie.2021.016958

Abstract piRNAs are novel members of small non-coding RNAs and have an impact on genetic and epigenetic mechanisms of cells. It was aimed to investigate the role of piR-651 on MCF-7 benign breast cancer cells by focusing on molecular characteristics. Anti-piR-651 was transfected and effects of piR-651 on proliferation, adhesion, and motility of MCF-7 cells were detected after the 24th, 48th, and 72nd hour. Gene expressions of piR-651, Ki-67, MMP-2, ERα, HIF-1α, and hTERT were determined by using RT-PCR. piR-651 inhibition caused the decrease of proliferation, adhesion (p < 0.001), and motility of MCF-7 cells. The efficiency of anti-piR-651 transfection supported… More >

Sridha Ganesh¹, Rui Wang¹, Honglei Chen^1,2

Oncologie, Vol.23, No.3, pp. 335-350, 2021, DOI:10.32604/oncologie.2021.018610

Abstract Non-small cell lung cancer (NSCLC) constitutes about 84% of lung cancer. Hence, increased efforts have been fueled into immunotherapy of NSCLC with immune checkpoint inhibitors (ICIs). ICIs have recently taken off as promising immune-therapeutic methods that have slowed down the progress of NSCLC and equipped patients with survival advantages. However, the long-term respondents tally is less than 20% of the population. This low response rate warrants the need for dynamic biomarkers which will provide insight into the possible response of patients to ICIs. Biomarkers are biological molecules that predict the pathologic state of patients and the potential response they will… More >

Weifeng Ren^1,2,#, Xiaomeng Cai^2,3,#, Jun Chen^2,3,#, Lifo Ruan^2,3, Huiru Lu², Jiayu Zhang^2,3, Yi Hu^2,3,*, Jimin Gao^1,*

Oncologie, Vol.23, No.3, pp. 359-371, 2021, DOI:10.32604/Oncologie.2021.018605

Abstract This study reported the construction of GM-CSF-loaded chitosan/graphene oxide nanoparticles for photothermal therapy-assisted immunotherapy against murine orthotopic bladder cancer. The encapsulated GM-CSF in chitosan/graphene oxide nanoparticles facilitated their immobilization on biotinylated mouse orthotopic bladder cancer surface, resulting in slow release of antitumor immune adjuvant. Locally released GM-CSF efficiently recruited dendritic cells to bladder tumor sites, thereby promoting immune responses in mice. Thus, the activated immune response in mice provided enhanced antitumor effects. Meanwhile, the thermal effect from the nanoparticles upon light irradiation induced a significant increase in dendritic cells and T cells compared with other groups, which confirmed that the… More >

Ruoyu Liu^1,#, Yuhao Hu^1,#, Jing Xu², Aiting Cai¹, Anqi Wu¹, Lin Chen³, Weihua Cai³, Deping Dong⁴, Henggui Xu^5,*, Feng Wang^1,*

Oncologie, Vol.23, No.3, pp. 303-320, 2021, DOI:10.32604/oncologie.2021.018514

Abstract Cancers are diseases with a high mortality rate worldwide. In order to better diagnose and improve the survival rate, many studies have been conducted. In recent years, the role of non-coding RNAs in cancers has been confirmed, and circular RNAs (circRNAs) have attracted much attention. CircRNAs are involved in the occurrence and development of cancers with high stability. Experiments have shown that they can exist stably in peripheral blood. Therefore, the expression of circulating circRNAs can be detected to help diagnose cancers and reflect tumor progression. In this review, we summarized the role of circulating circRNAs in cancers and discussed… More >

Imad Ahmad^1,2, Haroon Khan^2,*, Muhammad Usman Amin¹, Shah Khalid³, Tapan Behl⁴, Najeeb Ur Rahman¹

Oncologie, Vol.23, No.3, pp. 321-333, 2021, DOI:10.32604/Oncologie.2021.018296

Abstract Punarnavine (PN) has been isolated from the roots of Boerhaavia diffusa L. (Nyctaginaceae). It is an important medicinal plant with a vast historical ethnopharmacological background. Its identification resulted from the interrogation of ‘Punarnava’, a tribal medicinal product. The molecule exhibited its position as incipient anticancer therapeutic agent. The inhibition of NFκB, ATF-2, c-Fos, and CREB-1 are one of the underlying mechanisms of anticancer action along with modification of the immune system. These signalling molecules are upregulated in the cancer microenvironment. Punarnavine also modified the release of interleukins, i.e., upregulated IL-2, IL-7, IL-10, IL-12, IFN-γ, while downregulated IL-1β, IL-6, TNF-α, VEGF,… More >

Yu-yuan Guo^1,#, Arokia Vijaya Anand Mariadoss^2,#, Kandasamy Saravanakumar², Tie-yan Jin^1,*, Hye-Young Kim^3,*, Myeong-Hyeon Wang²

Oncologie, Vol.23, No.3, pp. 409-424, 2021, DOI:10.32604/Oncologie.2021.017833

Abstract The medicinal plant of Acer tegmentosum Maxim is traditionally used in the southern part of Asia to treat oxidative stress-related diseases, including cancer, diabetes mellitus , wounds, infections, etc. Based on this, the current study was designed to investigate the phytochemical analysis, antioxidants and anti-cancer activities of Acer tegmentosum Maxim (AT). The total phenolic content (TPC), total flavonoid content (TFC), free radicals scavenging (DPPH and ABTS), chemical constituents as well as cytotoxicity potential ATWE (Acer tegmentosum Maxim water extracts) and ATEE (Acer tegmentosum Maxim ethanolic extracts) were tested. The cytotoxic efficacy ATWE and ATEE were studied in Human embryonic kidney… More >

Elda A. Flores-Contreras¹, Everardo González-González^2,3, Ana I. Zarazúa-Niño¹, Elsa N. Garza-Treviño¹, Natalia Martínez-Acuña¹, Viviana C. Zomosa-Signoret⁴, Román Vidaltamayo⁴, Gerardo E. Muñoz-Maldonado⁵, Raquel Garza-Guajardo⁶, Manuel de J. García-Solís⁷, Alejandro Abarca-Blanco³, Ana M. G. Rivas-Estilla¹, Carlos Córdova-Fletes^1,*

Oncologie, Vol.23, No.3, pp. 373-392, 2021, DOI:10.32604/oncologie.2021.017786

Abstract Breast cancer (BC) is one of the leading causes of death in women worldwide. A major challenge in BC is chemoresistance, which is often modulated by epigenetic regulators such as long non-coding RNAs (lncRNAs). Because these regulator lncRNAs may play diverse roles, determining their specific pathways and/or functions is crucial to identify possible biomarkers and/or therapeutic targets for BC. In this study, we used gene expression microarrays in order to identify lncRNAs related to the BC biology. We found, among six differentially expressed (DE) lncRNAs, that the expression of lnc-ERP44-3:6 was consistently down-regulated in all breast tumor tissues compared to… More >